CN117354926A - Positioning method and system based on campus wireless local area network - Google Patents

Positioning method and system based on campus wireless local area network Download PDF

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Publication number
CN117354926A
CN117354926A CN202311569642.9A CN202311569642A CN117354926A CN 117354926 A CN117354926 A CN 117354926A CN 202311569642 A CN202311569642 A CN 202311569642A CN 117354926 A CN117354926 A CN 117354926A
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China
Prior art keywords
value
rss
determining
user terminal
mac
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CN202311569642.9A
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杨红强
杨甲英
邵娟
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Shaanxi Fashion Engineering University
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Shaanxi Fashion Engineering University
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Priority to CN202311569642.9A priority Critical patent/CN117354926A/en
Publication of CN117354926A publication Critical patent/CN117354926A/en
Pending legal-status Critical Current

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
    • H04W84/10—Small scale networks; Flat hierarchical networks
    • H04W84/12—WLAN [Wireless Local Area Networks]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention provides a positioning method and a positioning system based on a campus wireless local area network, comprising the steps of collecting RSS signal fingerprints of the campus wireless local area network by a first type terminal; a first type terminal determines a first RSS value for a first location; the user terminal determines a second RSS value of the first position; clustering a plurality of second RSS values of a plurality of user terminals; determining mac addresses of user terminals in the clusters, and determining at least one address interval of the mac addresses; determining a first ratio of each cluster center to the first RSS value; when the current user terminal is positioned at any position, measuring to obtain a current RSS value, determining an address interval to which the current user terminal belongs according to a Mac address of the current user terminal, determining a first ratio according to the address interval, and correcting the current RSS value according to the first ratio; and positioning the current user terminal according to the corrected RSS value and the RSS signal fingerprint. By the aid of the scheme, fingerprint positioning accuracy can be improved.

Description

Positioning method and system based on campus wireless local area network
Technical Field
The invention relates to the field of position positioning, in particular to a positioning method and system based on a campus wireless local area network.
Background
Determining the location or location information of various network terminal devices in the campus facilitates network management, security, resource allocation, better personalized services for students, and the like.
The positioning technology for the user terminal in the campus in the prior art comprises the following steps: satellite positioning (GPS, beidou, etc.), wireless local area network positioning, bluetooth positioning. Where satellite positioning locates the position of the device precisely by satellite signals, however, GPS may be less accurate in indoor positioning. Bluetooth positioning uses bluetooth beacon to track the position of equipment, can install bluetooth beacon equipment in the campus to track student or staff's position that uses the equipment that has bluetooth (such as cell-phone or notebook computer), bluetooth positioning's scope is little, consequently needs additionally to install a lot of bluetooth beacon equipment, and hardware cost is high. Wireless local area network (Wi-Fi) location uses Wi-Fi access points and signal strength (Received Signal Strength (RSS)) to determine the location of the device, each wireless AP has a different signal strength at a different location, which creates a fingerprint-like signal distribution, and after the terminal measures the current RSS value, the terminal can know its exact location by comparing the signal fingerprints. Wireless local area network (Wi-Fi) positioning can use Wi-Fi devices in existing campus networks, so that hardware cost can be greatly reduced, and the method is the first of campus wireless network positioning.
However, in the prior art, the problem of inaccurate positioning still exists in the positioning of the wireless local area network, and it is pointed out (section 3.4.1) in the research of the positioning algorithm in WiFi-based multi-fingerprint partition chamber of Yang Xu that for the same position, the RSS values collected by different terminals have a larger difference, but Wi-Fi fingerprint signals are usually measured by one or a class of terminals, so that even if the RSS values measured by different terminals are substituted into the signal fingerprints at the same position, different positioning results can still be obtained.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a positioning method and a positioning system based on a campus wireless local area network.
In one aspect of the present invention, a positioning method based on a campus wireless local area network is provided, which is characterized in that: collecting RSS signal fingerprints of a campus wireless local area network by a first type terminal; arranging a Bluetooth transmitter at a first position; when the first type terminal determines that the first type terminal is at a first position according to the Bluetooth signal, determining a first RSS value of the first position; the user terminal determines a second RSS value of the first position when determining that the user terminal is at the first position according to the Bluetooth signal; clustering a plurality of second RSS values of a plurality of user terminals; for each clustering result, determining the mac address of the user terminal in the cluster, and determining at least one address interval of the mac address; determining a cluster center for each cluster result, and determining a first ratio of each cluster center to a first RSS value; when the current user terminal is positioned at any position, measuring to obtain a current RSS value, determining an address interval to which the current user terminal belongs according to a Mac address of the current user terminal, determining a first ratio according to the address interval, and correcting the current RSS value according to the first ratio; and positioning the current user terminal according to the corrected RSS value and the RSS signal fingerprint.
Further, determining at least one address interval of the mac address is: for user terminals in the same cluster, selecting a value with the smallest MAC as a lower interval limit, and selecting a value with the largest MAC as an upper interval limit, so as to determine an address interval.
Further, determining at least one address interval of the mac address is: the first 6 bits of the MAC addresses are used for classifying the MAC addresses of the same cluster, then the last 6 bits of each classification are used for selecting the value with the smallest MAC as the interval lower limit and the value with the largest MAC as the interval upper limit, so as to determine an address interval.
Further, each time a new user terminal reports the second RSS value, a corresponding cluster is determined according to the new second RSS value, and the address interval is updated by using the MAC value of the new user terminal.
Further, modifying the current RSS value according to the first ratio includes: correction value = measurement value/first ratio.
The invention also provides a positioning system based on the campus wireless local area network, which is characterized by comprising: the first type terminal is used for collecting RSS signal fingerprints of the campus wireless local area network; a bluetooth transmitter disposed at a first location; the first type terminal determines a first RSS value of a first position when determining the first position according to the Bluetooth signal; the user terminal determines a second RSS value of the first position when determining the first position according to the Bluetooth signal; the server is used for clustering a plurality of second RSS values of a plurality of user terminals, determining the mac address of the user terminals in the cluster for each clustering result, determining at least one address interval of the mac address, determining a clustering center for each clustering result, and determining a first ratio of each clustering center to the first RSS value; the user terminal measures a current RSS value when the current user terminal is positioned at any position, determines an address interval to which the current user terminal belongs according to a Mac address of the current user terminal, determines a first ratio according to the address interval, corrects the current RSS value according to the first ratio, and positions the current user terminal according to the corrected RSS value and an RSS signal fingerprint.
Further, determining at least one address interval of the mac address is: for user terminals in the same cluster, selecting a value with the smallest MAC as a lower interval limit, and selecting a value with the largest MAC as an upper interval limit, so as to determine an address interval.
Further, determining at least one address interval of the mac address is: the first 6 bits of the MAC addresses are used for classifying the MAC addresses of the same cluster, then the last 6 bits of each classification are used for selecting the value with the smallest MAC as the interval lower limit and the value with the largest MAC as the interval upper limit, so as to determine an address interval.
Further, each time a new user terminal reports the second RSS value, a corresponding cluster is determined according to the new second RSS value, and the address interval is updated by using the MAC value of the new user terminal.
Further, modifying the current RSS value according to the first ratio includes: correction value = measurement value/first ratio.
Through the technical scheme, the invention can produce the following beneficial effects:
the RSS values of the terminals at the fixed positions are measured, the measurement results are clustered, the user terminals can be classified according to the clusters, and then the MAC address interval of each class is determined according to the MAC address of the terminal in each class, so that other user terminals can inquire which cluster the user terminal belongs to through the MAC address interval; determining the measurement difference between each cluster and the terminal for establishing the signal fingerprint according to the ratio of the RSS measurement value of each cluster to the measurement value of the terminal for establishing the signal fingerprint at the fixed point; when the specific positioning is carried out, the measured value of the user terminal is corrected according to the measurement difference, and the corrected measured value is used for positioning, so that the positioning accuracy is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of the method of the present invention.
Detailed Description
The invention will be described with reference to the drawings and detailed description.
The present embodiment solves the above problem by:
in one embodiment, referring to fig. 1, the present invention provides a positioning method based on a campus wireless local area network, which specifically includes:
and collecting RSS signal fingerprints of the campus wireless local area network by the first type terminal.
Collecting RSS (Received Signal Strength) signal fingerprints for campus wireless local area networks may use mobile devices or sensors for data collection. In order to ensure consistency of measurement standards of collected data, the same type of terminal needs to be used in the whole collection process, and the same type can be the same brand or the same model, so long as the equal RSS measured at the same location is ensured.
A data collection plan may be formulated when performing RSS signal collection, including deciding which locations within the campus to collect RSS signal data, which locations should encompass various areas of the campus, including indoors and outdoors. At each data acquisition point, an application is started and the terminal device is allowed to scan and record the RSS values of nearby Wi-Fi access points, requiring a dwell time at each location to ensure that enough data points are obtained. Position coordinate information of the acquisition point is recorded, and the coordinate information is associated with RSS data. The collected RSS data and associated location information are stored in a database or data file, which can form an RSS signal fingerprint for use in subsequent steps.
A bluetooth transmitter is disposed at a first location.
This embodiment requires the collection of a portion of accurate positioning information. Bluetooth technology can be used for small-range indoor positioning, particularly ultra-close positioning, and relatively accurate positioning can be achieved by deploying bluetooth transmitters and measuring the distance between the devices and the transmitters. Further, positioning accuracy can be improved by deploying multiple bluetooth transmitters and using triangulation. By careful placement of the bluetooth transmitters, the effect of accurate positioning of parts of the terminals, such as in corners of classrooms, toilets, specific seats in classrooms, etc., can be obtained. Further, the terminal is determined to be located at the first position only when the Bluetooth signal is greater than the first threshold value, so that Bluetooth positioning accuracy is further improved.
The first location is merely a name for convenience of description, and in an implementation, the first location may be a plurality of bluetooth transmitters deployed at a plurality of different locations to obtain data more quickly, and the plurality of locations where bluetooth transmitters are deployed may be referred to as the first location.
The first type terminal determines a first RSS value for the first location when determining that the first type terminal is in the first location according to the Bluetooth signal.
The first type terminal is used for measuring the RSS signal fingerprint, and can also position according to the Bluetooth transmitter, when the first type terminal reaches the first position, the special RSS of the first position is marked to be used as an RSS reference value of the first position, and in the prior art, when the user terminal and the measuring terminal are located at the same AP and the measuring quantity is the same, the current terminal is considered to be possibly located at the first position.
And when the user terminal determines that the user terminal is at the first position according to the Bluetooth signal, determining a second RSS value of the first position.
The user terminal refers to a terminal needing positioning service, and can be any device such as a mobile phone, a tablet, a notebook and the like. The user can control and permit the positioning authority of the user terminal, and when the embodiment is actually implemented, the APP, such as a campus management system, a student management system and the like, can request Wi-fi and Bluetooth authority of the user, and after the user agrees, parameters such as wireless and Bluetooth signals of the user terminal are read.
Similar to the measurement terminal, when the user terminal accesses to the bluetooth transmitter of the first location, it may be determined that the user is around the bluetooth transmitter, and when the intensity of the bluetooth signal received by the user is greater than a preset threshold, it may be considered that the user is at the first location. At this time, further read the RSS value of the Wi-Fi signal, as described in the background art, the read RSS values are different for different brands of user terminals due to objective reasons such as processing speed. Thus, the second RSS value here is not typically equal to the first RSS value, and positioning errors may occur if the second RSS value is used directly for positioning.
When the Bluetooth transmitter is arranged, the user terminals which are arbitrarily close to the Bluetooth transmitter can measure signals, and due to the fact that campus personnel are intensive, a large number of RSS values measured by different user terminals can be received after the Bluetooth transmitter is deployed for a period of time, and the RSS values are uploaded to a server background for later steps through, for example, campus management APP.
And clustering a plurality of second RSS values for the plurality of user terminals.
In order to solve the problem that the second RSS value is inaccurate, the present implementation further clusters a plurality of second RSS values of a plurality of user terminals. Because the network cards, the processor speeds and the like of the same brand, batch and model are the same, the RSS values read at the same position are very similar, for example, the RSS values read by the millet 13 mobile phones produced in the same batch are similar, and the user terminals can be clustered through the RSS values through clustering a plurality of second RSS values of the plurality of user terminals.
The server background receives a plurality of RSS values, and the data can be preprocessed before clustering, including preprocessing such as abnormal value removal, and the like, so that the consistency and the integrity of the data are ensured. Proper clustering algorithms such as K-means clustering, hierarchical clustering, DBSCAN and the like are selected, the follow-up implementation is not affected by the specific algorithm, and the embodiment is not limited specifically.
After clustering, further, the clustering results may be analyzed to analyze the features and meanings of each cluster to determine differences and similarities between different clusters. For example, determining to which model of terminal each cluster belongs, may help determine if the result of the cluster is correct for parameter adjustment.
For each cluster result, a mac address of the user terminal in the cluster is determined, and at least one address interval of the mac address is determined.
The MAC address (Media Access Control address) of the network card is assigned by the manufacturer of the network device, typically in a globally unique manner. The MAC address is a string of 12 hexadecimal digits (0-9 and A-F), typically separated by a colon (:) or hyphen (-), for example: 00:1A:2B:3C:4D:5E.
The first half (the first 6 hexadecimal digits) of the MAC address is typically the unique identifier of the manufacturer, called OUI (Organizationally Unique Identifier). OUI is managed by IEEE (Institute of Electrical and Electronics Engineers) and assigned to registered network device manufacturers. Each manufacturer must apply for and register its own OUI with the IEEE. Thus, each manufacturer has a unique OUI. The remaining portion (the last 6 hexadecimal digits) is assigned by the manufacturer and is typically used to identify the particular device it is producing. This part is typically a serial number or other unique identification inside the device.
The network card manufacturer usually adopts a certain rule to allocate the MAC addresses, so that the MAC addresses of the same batch of factories are more ordered, and for the terminals of the same model and same batch, the network cards of the same batch are usually adopted, so that the MAC addresses are also ordered. Based on the above, the address interval of at least one network card can be determined through the same RSS cluster, so that the terminals in the same batch can be determined.
For user terminals in the same cluster, selecting a value with the smallest MAC as a lower interval limit, and selecting a value with the largest MAC as an upper interval limit, so as to determine an address interval. For example, if there are multiple terminals in the same cluster with MAC addresses of 00:1a:2b:3c:2d:5e,00:1a:2b:3c:3d:5e,00:1a:2b:3c:4d:5e,00:1a:2b:3c:5d:5e, the determined interval is [00:1a:2b:3c:2d:5e,00:1a:2b:3c:5d:5e ], and when there is a new MAC address of the ue falling within the interval, the ue may be considered to belong to the same batch.
Further, the first 6 bits of the MAC address are used to classify the MAC addresses of the same cluster, and then the last 6 bits of each classification are used to determine a MAC address interval. For example, in the same cluster, the MAC addresses of the plurality of terminals are respectively 00:1a:2b:3c:2d:5e,00:1a:2b:3c:3d:5e,01:1a:2b:3c:4d:5e,01:1a:2b:3c:5d:5e, then the vendor classification of the network card is determined first, and is 00:1a:2b and 01:1a:2b, then an address interval is determined for each vendor classification, and the MAC address interval of the 00:1a:2b pair is [00:1a:2b:3c:2d:5e, 00:1a:2b:3c:5e ]; the address interval corresponding to 01:1A:2B is [01:1A:2B:3C:4D:5E ], 01:1A:2B:3C:5D:5E ].
Further, each time a new user terminal reports the second RSS value, a corresponding cluster is determined according to the new RSS value, and the address interval is updated by using the MAC value of the new user terminal. For example, for a cluster of-30 dBm, the corresponding mac address interval is [00:1A:2B:3C:2D:5E ], the RSS value measured by a new user terminal is also-30 dBm, and the mac address is 00:1A:2B:3C:6D:5E ], the new terminal expands the original address range and changes the new address range to [00:1A:2B:3C:2D:5E,00:1A:2B:3C:6D:5E ].
For each cluster result, a cluster center is determined, and a first ratio of each cluster center to the first RSS value is determined.
The cluster center is typically the average of all data points in the cluster, and for each cluster, the average RSS value of all data points is calculated for the cluster center, the first ratio being the first ratio of each cluster center to the first RSS value. For example, a cluster center of a cluster is 30dBm, and the first RSS value is 35dBm, then the first ratio=30 dBm/35 dbm=0.857. The first RSS value is a measured value of a terminal for establishing a fingerprint, the clustering center is a measured value of the same batch of terminals at the same place, and the measured RSS values are different due to the fact that the user terminals are different from the measured terminals of the first RSS, a specific difference range can be determined by determining the first ratio, and therefore the measured value of the user terminals is corrected.
When the current user terminal is positioned at any position, a current RSS value is measured, an address interval to which the current user terminal belongs is determined according to a Mac address of the current user terminal, a first ratio is determined according to the address interval, and the current RSS value is corrected according to the first ratio.
Through the steps, the difference ratio (first ratio) between the RSS values measured at the same place by the user terminal and the terminal for establishing the fingerprint is determined, the difference ratio corresponds to the interval of the Mac address, and when the user is to be positioned at any position, namely, the Mac address interval is used for inquiring which interval the Mac address belongs to, so that the first ratio is determined, and the RSS value measured at the current position is corrected through the first ratio.
For example, the MAC address of a ue is 00:1a:2b:3c:2d:7e, which belongs to the [00:1a:2b:3c:2d:5e,00:1a:2b:3c:5d:5e ] interval, and the corresponding first ratio of the [00:1a:2b:3c:2d:5e,00:1a:2b:3c:5d:5e ] interval is 0.9, if the current RSS value measured by the ue is 27dBm, it is corrected to 27 dBm/0.9=30 dBm, that is, if the current position of the terminal for fingerprint establishment is measured, the RSS value not measured should be 30dBm, and positioning errors caused by different RSS measurement values due to different devices can be avoided by fingerprint positioning with 30 dBm.
And positioning the current user terminal according to the corrected RSS value and the RSS signal fingerprint.
Using the modified RSS values to match the known data in the RSS signal fingerprint database, different algorithms, such as nearest neighbor algorithm (K nearest neighbor), weighted least squares, etc., may be used to find the closest fingerprint. Once the fingerprint that best matches the measurement data is found, the location of the user terminal can be determined, which is the basic principle of fingerprint positioning, by comparing the fingerprint of the known location with the fingerprint of the measurement data. The specific algorithm and process may refer to any prior art, and the embodiment is not limited specifically.
In summary, in this embodiment, by measuring RSS values of different terminals at fixed locations, and clustering the measurement results, the user terminals may be classified according to the clusters, and then the MAC address interval of each class may be determined according to the MAC address of the terminal in each class, so that other user terminals may query which cluster they belong to through the MAC address interval; determining the measurement difference between each cluster and the terminal for establishing the signal fingerprint according to the ratio of the RSS measurement value of each cluster to the measurement value of the terminal for establishing the signal fingerprint at the fixed point; when the specific positioning is carried out, the measured value of the user terminal is corrected according to the measurement difference, and the corrected measured value is used for positioning, so that the positioning accuracy is improved.
On the other hand, the invention also provides a positioning system based on the campus wireless local area network, which is characterized in that the system comprises:
the first type terminal is used for collecting RSS signal fingerprints of the campus wireless local area network;
a bluetooth transmitter disposed at a first location;
the first type terminal determines a first RSS value of a first position when determining the first position according to the Bluetooth signal;
the user terminal determines a second RSS value of the first position when determining the first position according to the Bluetooth signal;
the server is used for clustering a plurality of second RSS values of a plurality of user terminals, determining the mac address of the user terminals in the cluster for each clustering result, determining at least one address interval of the mac address, determining a clustering center for each clustering result, and determining a first ratio of each clustering center to the first RSS value;
the user terminal measures a current RSS value when the current user terminal is positioned at any position, determines an address interval to which the current user terminal belongs according to a Mac address of the current user terminal, determines a first ratio according to the address interval, corrects the current RSS value according to the first ratio, and positions the current user terminal according to the corrected RSS value and an RSS signal fingerprint.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
The present invention is not limited to the specific partial module structure described in the prior art. The prior art to which this invention refers in the preceding background section as well as in the detailed description section can be used as part of the invention for understanding the meaning of some technical features or parameters. The protection scope of the present invention is subject to what is actually described in the claims.

Claims (10)

1. A positioning method based on a campus wireless local area network is characterized by comprising the following steps:
collecting RSS signal fingerprints of a campus wireless local area network by a first type terminal;
arranging a Bluetooth transmitter at a first position;
when the first type terminal determines that the first type terminal is at a first position according to the Bluetooth signal, determining a first RSS value of the first position;
the user terminal determines a second RSS value of the first position when determining that the user terminal is at the first position according to the Bluetooth signal;
clustering a plurality of second RSS values of a plurality of user terminals;
for each clustering result, determining the mac address of the user terminal in the cluster, and determining at least one address interval of the mac address;
determining a cluster center for each cluster result, and determining a first ratio of each cluster center to a first RSS value;
when the current user terminal is positioned at any position, measuring to obtain a current RSS value, determining an address interval to which the current user terminal belongs according to a Mac address of the current user terminal, determining a first ratio according to the address interval, and correcting the current RSS value according to the first ratio;
and positioning the current user terminal according to the corrected RSS value and the RSS signal fingerprint.
2. The positioning method based on campus wireless lan according to claim 1, wherein the determining at least one address interval of the mac address is: for user terminals in the same cluster, selecting a value with the smallest MAC as a lower interval limit, and selecting a value with the largest MAC as an upper interval limit, so as to determine an address interval.
3. The positioning method based on campus wireless lan according to claim 1, wherein the determining at least one address interval of the mac address is: the first 6 bits of the MAC addresses are used for classifying the MAC addresses of the same cluster, then the last 6 bits of each classification are used for selecting the value with the smallest MAC as the interval lower limit and the value with the largest MAC as the interval upper limit, so as to determine an address interval.
4. A positioning method based on a campus wireless local area network according to any one of claims 2 or 3, characterized in that: and when the new user terminal reports the second RSS value, determining a corresponding cluster according to the new second RSS value, and updating the address interval by using the MAC value of the new user terminal.
5. The positioning method based on the campus wireless local area network according to claim 1, wherein correcting the current RSS value according to the first ratio comprises: correction value = measurement value/first ratio.
6. A positioning system based on a campus wireless local area network, the system comprising:
the first type terminal is used for collecting RSS signal fingerprints of the campus wireless local area network;
a bluetooth transmitter disposed at a first location;
the first type terminal determines a first RSS value of a first position when determining the first position according to the Bluetooth signal;
the user terminal determines a second RSS value of the first position when determining the first position according to the Bluetooth signal;
the server is used for clustering a plurality of second RSS values of a plurality of user terminals, determining the mac address of the user terminals in the cluster for each clustering result, determining at least one address interval of the mac address, determining a clustering center for each clustering result, and determining a first ratio of each clustering center to the first RSS value;
the user terminal measures a current RSS value when the current user terminal is positioned at any position, determines an address interval to which the current user terminal belongs according to a Mac address of the current user terminal, determines a first ratio according to the address interval, corrects the current RSS value according to the first ratio, and positions the current user terminal according to the corrected RSS value and an RSS signal fingerprint.
7. The campus wireless lan-based positioning system of claim 6, wherein the at least one address interval for determining the mac address is: for user terminals in the same cluster, selecting a value with the smallest MAC as a lower interval limit, and selecting a value with the largest MAC as an upper interval limit, so as to determine an address interval.
8. The campus wireless lan-based positioning system of claim 6, wherein the at least one address interval for determining the mac address is: the first 6 bits of the MAC addresses are used for classifying the MAC addresses of the same cluster, then the last 6 bits of each classification are used for selecting the value with the smallest MAC as the interval lower limit and the value with the largest MAC as the interval upper limit, so as to determine an address interval.
9. A campus wireless local area network based positioning system according to any one of claims 7 or 8, wherein: and when the new user terminal reports the second RSS value, determining a corresponding cluster according to the new second RSS value, and updating the address interval by using the MAC value of the new user terminal.
10. The campus wireless lan based positioning system of claim 6, wherein modifying the current RSS value according to the first ratio comprises: correction value = measurement value/first ratio.
CN202311569642.9A 2023-11-23 2023-11-23 Positioning method and system based on campus wireless local area network Pending CN117354926A (en)

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